Human Activity Recognition

131 papers with code • 3 benchmarks • 9 datasets

Classify various human activities

Libraries

Use these libraries to find Human Activity Recognition models and implementations

Latest papers with no code

CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR

no code yet • 22 Mar 2024

In recent years, emerging research on mobile sensing has led to novel scenarios that enhance daily life for humans, but dynamic usage conditions often result in performance degradation when systems are deployed in real-world settings.

A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition

no code yet • 17 Mar 2024

We also distinguish and expound on many related but inconsistently used terms in the literature, such as transfer learning, domain adaptation, representation learning, sensor fusion, and multimodal learning, and describe how cross-modal learning fits with all these concepts.

P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer

no code yet • 13 Mar 2024

Traditional deep learning methods struggle to simultaneously segment, recognize, and forecast human activities from sensor data.

Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition

no code yet • 12 Mar 2024

To bridge this gap, our study introduces a Conditional Variational Autoencoder with Universal Sequence Mapping (CVAE-USM) approach, which addresses the unique challenges of time-series domain adaptation in HAR by relaxing the i. i. d.

Cross-user activity recognition using deep domain adaptation with temporal relation information

no code yet • 12 Mar 2024

To address this challenge, we introduce the Deep Temporal State Domain Adaptation (DTSDA) model, an innovative approach tailored for time series domain adaptation in cross-user HAR.

Cross-user activity recognition via temporal relation optimal transport

no code yet • 12 Mar 2024

$ and do not consider the knowledge of temporal relation hidden in time series data for aligning data distribution.

Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review

no code yet • 12 Mar 2024

Sensor-based Human Activity Recognition (HAR) is crucial in ubiquitous computing, analysing behaviours through multi-dimensional observations.

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models

no code yet • 11 Mar 2024

Neuro-Symbolic AI (NeSy) provides an interesting research direction to mitigate this issue, by infusing common-sense knowledge about human activities and the contexts in which they can be performed into HAR deep learning classifiers.

HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?

no code yet • 5 Mar 2024

Our study, HARGPT, presents an affirmative answer by demonstrating that LLMs can comprehend raw IMU data and perform HAR tasks in a zero-shot manner, with only appropriate prompts.

Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Semi-supervised Cross-domain Neural Networks for Indoor Environment

no code yet • 5 Mar 2024

The label classifier obtained from training the source domain data improves the recognition of target domain activities due to the semi-supervised learning utilized in training the target domain data.